|
--- |
|
license: mit |
|
language: en |
|
tags: |
|
- bert |
|
- sentiment-analysis |
|
datasets: |
|
- yelp_review_full |
|
widget: |
|
- text: "The food is delicious." |
|
- text: "The food is awful." |
|
- text: "Umm... so so." |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# my-test-model |
|
|
|
This model was trained from scratch on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
|
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- optimizer: None |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- TensorFlow 2.8.2 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
